The segmentation challenge involves pixel level predictions for all the 26 classes at level 3 of the label hierarchy (see Overview, for details of the level 3 ids).
IDD20K is an expanded version of the IDD dataset released last year with fine annotations for 20K images.
python preperation/createLabels.py --datadir $IDD --id-type level3Id --num-workers $C
python evaluate/evaluate_mIoU.py --gts $GT --preds $PRED --num-workers $C
The output format is a png image with the same resolution as the input image, where the value of every pixel is an integer in {0. .... , 26}, where the first 0-25 classes corresponds to the level3Ids (see Overview, for details of the level 3 ids) and the class 26 is used as a miscellaneous class.
We will be using the mean Intersection over Union metric. All the ground truth and predictions maps will be resized to 720p (using nearest neighbor) and True positives (TP), False Negatives (FN) and False positives (FP) will be computed for each class (except 26) over the entire test split of the dataset. Intersection over Union (IoU) will be computed for each class by the formula TP/(TP+FN+FP) and the mean value is taken as the metric (commonly known as mIoU) for the segmentation challenge.
Additionally we will also be reporting the mIoU for level 2 and level 1 ids also at 720p resolution in the leader board. Evaluation scripts are available here: https://github.com/AutoNUE/public-code
Team/Uploader Name | Method Name | mIoU for L3 IDs at 720p | mIoU for L2 IDs at 720p | mIoU for L1 IDs at 720p |
---|---|---|---|---|
BetaSeg | Adapted HRNet | 0.6747 | 0.7321 | 0.8672 |
TeamTiger | Aligned DLV3+ | 0.6353 | 0.6986 | 0.8514 |
TeamTiger | Modified aligned DLV3+ | 0.6353 | 0.6986 | 0.8514 |
TeamTiger | Modified DLV3+ | 0.6265 | 0.6915 | 0.8427 |
TeamTiger | Edited DLV3+ | 0.619 | 0.6907 | 0.8302 |
BetaSeg | Adapted HRNet | 0.6038 | 0.6821 | 0.8306 |
BetaSeg | Enhanced HRNet | 0.5699 | 0.672 | 0.8255 |
FutureSight | Short HRNet | 0.4195 | 0.5219 | 0.6498 |
FutureSight | Short HRNet + | 0.3724 | 0.4734 | 0.5909 |
One_Two_Ka_Four | Modified HRNet | 0.3615 | 0.4829 | 0.6506 |
BetaSeg | HRNet | 0.3455 | 0.3212 | 0.7537 |
One_Two_Ka_Four | Modified HRNet | 0.1972 | 0.2886 | 0.3439 |
HRNet | Extended HRNet | 0.1793 | 0.2432 | 0.396 |
FutureSight | Transferred_HRNet | 0.1793 | 0.2432 | 0.396 |
OTKF | AttN | 0.0906 | 0.1437 | 0.134 |
vision_aries | DLV | 0.0158 | 0.0251 | 0.0988 |